Evidence map›Paper›PMID 42018306›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

Integrated Multiomic Profiling Enhances Risk Stratification and Prognostication in Canine Osteosarcoma.

Anjali Garg, Joshua D Mannheimer, Heather Gardner, Cheryl A London, William P D Hendricks, Guannan Wang, Kenneth Day, Sharadha Sakthikumar, Manisha Warrier, Christina Mazcko and 2 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Anjali GargComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0001-9981-3607
Joshua D MannheimerComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0009-0006-0527-1805
Heather GardnerCummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts.ORCID 0000-0001-6007-6144
Cheryl A LondonCummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts.ORCID 0000-0001-8563-1490
William P D HendricksVidium Animal Health, A Subsidiary of The Translational Genomics Research Institute (TGen), Scottsdale, Arizona.ORCID 0000-0001-7192-8699
Guannan WangVidium Animal Health, A Subsidiary of The Translational Genomics Research Institute (TGen), Scottsdale, Arizona.ORCID 0000-0003-0130-3241
Kenneth DayVidium Animal Health, A Subsidiary of The Translational Genomics Research Institute (TGen), Scottsdale, Arizona.ORCID 0000-0001-8235-8302
Sharadha SakthikumarVidium Animal Health, A Subsidiary of The Translational Genomics Research Institute (TGen), Scottsdale, Arizona.ORCID 0000-0002-7746-8264
Manisha WarrierVidium Animal Health, A Subsidiary of The Translational Genomics Research Institute (TGen), Scottsdale, Arizona.ORCID 0000-0002-3405-191X
Christina MazckoComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-2543-7781
Jessica A BeckComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-0145-7606
Amy K LeBlancComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0001-7656-9859

Funding

COP LaboratoryZIABC011692 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEBLANC, AMY · 2016 to 2025
$15.5M
DNA TOPOISOMERASES AS TARGET OF ACTION OF ANTICANCER DRUGSZ01BC006161 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI POMMIER, YVES · 1996 to 2008
$1.5M
Comparative Oncology Trials ConsortiumZIGBC011689 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEBLANC, AMY · 2016 to 2025
$859k
Comparative Oncology ProgramZIGBC011619 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEBLANC, AMY · 2015 to 2015
$751k
Center for Cancer Research (CCR) Z01-BC006161Intramural NIH HHS Z01 BC006161Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011692Intramural NIH HHS ZIG BC011619Intramural NIH HHS ZIG BC011689
6 · The paper itself

Abstract

purposeOsteosarcoma is a heterogeneous and aggressive primary bone malignancy that affects both canines and humans. Standardized treatment regimens prescribed to both species do not address the complexity of the disease and thus have resulted in stagnant patient outcomes for more than 30 years. EXPERIMENTAL

designIn this study, we present the first multiomic dataset created from a large outcome-linked biobank of canine osteosarcoma treatment-naïve primary tumors, utilizing a computational framework designed to interrogate each dataset individually and to compare and integrate findings.

resultsThis exploratory work suggests that the presence of MYC amplification is a poor prognostic indicator in canines and highlights alterations in DNA damage repair, metabolism, and cell-cycle genes that are shared with humans. Furthermore, we show relationships between the local tumor immune microenvironment, TP53 mutations, MYC and PTEN status, and global gene methylation patterns.

conclusionsThis work highlights the complexity of the disease and provides new insight into the utility of prognostic biomarkers and potential druggable targets for future study.

Indexed as

Biomarkers, TumorBone NeoplasmsDog DiseasesOsteosarcomaAnimalsDNA MethylationDogsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsPrognosisTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID42018306
PMCPMC13430567

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.